Triple

T14172021
Position Surface form Disambiguated ID Type / Status
Subject Masbate Island E351231 entity
Predicate hasMunicipality P847 FINISHED
Object Cataingan E915648 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Cataingan | Statement: [Masbate Island, hasMunicipality, Cataingan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cataingan
Context triple: [Masbate Island, hasMunicipality, Cataingan]
  • A. Cataingan chosen
    Cataingan is a coastal municipality located on the island province of Masbate in the Philippines, known for its fishing communities and agricultural activities.
  • B. Kapyong
    Kapyong is a Korean War battlefield in South Korea renowned for a pivotal 1951 engagement in which outnumbered UN forces, including Canadian troops, halted a major Chinese offensive.
  • C. Cabucgayan
    Cabucgayan is a coastal municipality in the province of Biliran in the Eastern Visayas region of the Philippines.
  • D. Malbago
    Malbago is a coastal barangay in the municipality of Daanbantayan in northern Cebu, Philippines.
  • E. Cagbang
    Cagbang is a barangay (village-level administrative division) within the municipality of Oton in the province of Iloilo, Philippines.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d8278834a08190b0f1784e58d7b99c completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61b5dcbc8190b0cfcce5e6c6d582 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf808e6088190a607903be0f2adc7 completed May 7, 2026, 8:37 p.m.
Created at: April 10, 2026, 1:01 a.m.